A Machine Learning Aided Systematic Review and Meta-Analysis of the Relative Risk of Atrial Fibrillation in Patients With Diabetes Mellitus

A Machine Learning Aided Systematic Review and Meta-Analysis of the Relative Risk of Atrial Fibrillation in Patients With Diabetes Mellitus

Background: Meta-analysis is a widely used tool in which weighted information from multiple similar studies is aggregated to increase statistical power. However, the exponential growth of publications in key areas of medical science has rendered manual identification of relevant studies increasingly...

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Bibliographic Details
Main Authors: Zhaohan Xiong, Tong Liu, Gary Tse, Mengqi Gong, Patrick A. Gladding, Bruce H. Smaill, Martin K. Stiles, Anne M. Gillis, Jichao Zhao
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-07-01
Series:Frontiers in Physiology
Subjects:
atrial fibrillation
diabetes mellitus
meta-analysis
machine learning
risk factor
Online Access:https://www.frontiersin.org/article/10.3389/fphys.2018.00835/full

Internet

https://www.frontiersin.org/article/10.3389/fphys.2018.00835/full

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